Surgical Workflow Monitoring Based on Trajectory Data Mining

  • Atsushi Nara
  • Kiyoshi Izumi
  • Hiroshi Iseki
  • Takashi Suzuki
  • Kyojiro Nambu
  • Yasuo Sakurai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6797)

Abstract

This research aims at investigating intermediate-scale workflows using the surgical staff’s movement pattern. In this study, we have introduced an ultrasonic location aware system to monitor intraoperative movement trajectories on surgical staffs for the workflow analysis. And we developed trajectory data mining for surgical workflow segmentation, and analyzed trajectory data with multiple cases. As a result, in 77.18% of total time, a kind of current operation stage could be correctly estimated. With high accuracy 85.96%, the estimation using trajectory data was able to distinguish whether a current 5 minutes was transition time from one stage to another stage or not.. Based on these results, we are implementing the surgery safe support system that promotes safe & efficient surgical operations.

Keywords

Surgical Workflow Surgical Management Trajectory Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Atsushi Nara
    • 1
  • Kiyoshi Izumi
    • 2
  • Hiroshi Iseki
    • 3
  • Takashi Suzuki
    • 3
  • Kyojiro Nambu
    • 4
  • Yasuo Sakurai
    • 3
  1. 1.Center for Spatial AnalysisUniversity of OklahomaNormanUSA
  2. 2.School of EngineeringThe University of Tokyo & PRESTO, JST.BunkyoJapan
  3. 3.Institute of Advanced Biomedical Engineering and ScienceTokyo Women’s Medical UniversityShinjuku-kuJapan
  4. 4.Research and Development CenterToshiba Medical Systems CorporationOtawara-shiJapan

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